US 11,960,298 B2
Multi-range vehicle speed prediction using vehicle connectivity for enhanced energy efficiency of vehicles
Mohammad Reza Amini, Ann Arbor, MI (US); Yiheng Feng, Ann Arbor, MI (US); Zhen Yang, Ann Arbor, MI (US); Ilya Kolmanovsky, Ann Arbor, MI (US); and Jing Sun, Superior Township, MI (US)
Assigned to THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed by THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed on Apr. 8, 2021, as Appl. No. 17/225,577.
Claims priority of provisional application 63/007,670, filed on Apr. 9, 2020.
Prior Publication US 2021/0318691 A1, Oct. 14, 2021
Int. Cl. G05D 1/02 (2020.01); G05D 1/00 (2006.01); H04W 4/44 (2018.01)
CPC G05D 1/0278 (2013.01) [G05D 1/0221 (2013.01); G05D 1/0223 (2013.01); H04W 4/44 (2018.02)] 5 Claims
OG exemplary drawing
 
1. A system for multi-range vehicle speed prediction along a travel corridor having a plurality of intersections for enhanced energy management of a vehicle, the system comprising:
a data-driven prediction module configured to receive historic traffic data from at least one of GPS, a connected vehicle database, and traffic signal timing data along the travel corridor for long-term vehicle speed prediction, organize the historic traffic data into a plurality of bins, and determine and output long-range speed predictions;
a model-based speed prediction and planning module configured to receive real-time traffic data including connected vehicle data and traffic signal timing and phasing data, estimate queuing dynamics at signalized intersections along the travel corridor using a shockwave profile model to estimate a queue length at each of the plurality of intersections for eco-trajectory planning, and output a short-range speed prediction;
an integration module configured to integrate the short-range and long-range speed predictions to output a multi-range speed forecast; and
a control module configured to solve a real-time optimization to minimize energy consumption of the vehicle while simultaneously enforcing power and thermal system constraints and output a model predictive control (MPC) signal to the vehicle and associated control actions in response to the multi-range speed forecast for predictive controlling of an operation of the vehicle power and thermal systems.